Deploying a robotic positive psychology coach to improve college students' psychological well-being

被引:17
|
作者
Jeong, Sooyeon [1 ]
Aymerich-Franch, Laura [3 ]
Arias, Kika [1 ]
Alghowinem, Sharifa [1 ,2 ]
Lapedriza, Agata [1 ,4 ]
Picard, Rosalind [1 ]
Park, Hae Won [1 ]
Breazeal, Cynthia [1 ]
机构
[1] MIT, Media Lab, Cambridge, MA 02139 USA
[2] Prince Sultan Univ, Comp & Informat Sci Coll, Riyadh, Saudi Arabia
[3] Pompeu Fabra Univ, Dept Commun, Barcelona, Spain
[4] Univ Oberta Catalunya, Estudis Informat Multimedia & Telecomunicacioat, Barcelona, Spain
关键词
Socially assistive robot; Positive psychology; Well-being; SPEECH EMOTION RECOGNITION; PERSONALITY-TRAITS; WORKING ALLIANCE; MENTAL-HEALTH; PSYCHOMETRIC PROPERTIES; PSYCHIATRIC-DISORDERS; CLUSTER-ANALYSIS; PREDICTORS; CONSCIENTIOUSNESS; PSYCHOTHERAPY;
D O I
10.1007/s11257-022-09337-8
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Despite the increase in awareness and support for mental health, college students' mental health is reported to decline every year in many countries. Several interactive technologies for mental health have been proposed and are aiming to make therapeutic service more accessible, but most of them only provide one-way passive contents for their users, such as psycho-education, health monitoring, and clinical assessment. We present a robotic coach that not only delivers interactive positive psychology interventions but also provides other useful skills to build rapport with college students. Results from our on-campus housing deployment feasibility study showed that the robotic intervention showed significant association with increases in students' psychological well-being, mood, and motivation to change. We further found that students' personality traits were associated with the intervention outcomes as well as their working alliance with the robot and their satisfaction with the interventions. Also, students' working alliance with the robot was shown to be associated with their pre-to-post change in motivation for better well-being. Analyses on students' behavioral cues showed that several verbal and nonverbal behaviors were associated with the change in self-reported intervention outcomes. The qualitative analyses on the post-study interview suggest that the robotic coach's companionship made a positive impression on students, but also revealed areas for improvement in the design of the robotic coach. Results from our feasibility study give insight into how learning users' traits and recognizing behavioral cues can help an AI agent provide personalized intervention experiences for better mental health outcomes
引用
收藏
页码:571 / 615
页数:45
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